PI-ResNet, a time-domain Siamese 1D ResNet with SE modules, identifies strongly lensed GW candidate pairs from whitened strain data with reported accuracies of 93.8-95.6% on simulated ET noise and 78-84% on LIGO noise.
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2 Pith papers cite this work. Polarity classification is still indexing.
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2026 2representative citing papers
GWTC-5.0 is a data release documenting over 300 gravitational-wave events from compact binary mergers observed through early 2025.
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Time-Domain Deep Learning for Pairwise Identification of Strongly Lensed Gravitational-Wave Candidates
PI-ResNet, a time-domain Siamese 1D ResNet with SE modules, identifies strongly lensed GW candidate pairs from whitened strain data with reported accuracies of 93.8-95.6% on simulated ET noise and 78-84% on LIGO noise.
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GWTC-5.0: An Introduction to Version 5.0 of the Gravitational-Wave Transient Catalog
GWTC-5.0 is a data release documenting over 300 gravitational-wave events from compact binary mergers observed through early 2025.